Jordan T. Ash

41 total papers · 811 total citations
9 papers, 180 citations indexed

About

Jordan T. Ash is a scholar working on Artificial Intelligence, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Jordan T. Ash has authored 9 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Biomedical Engineering. Recurrent topics in Jordan T. Ash's work include Machine Learning and Data Classification (3 papers), AI in cancer detection (2 papers) and Gene expression and cancer classification (2 papers). Jordan T. Ash is often cited by papers focused on Machine Learning and Data Classification (3 papers), AI in cancer detection (2 papers) and Gene expression and cancer classification (2 papers). Jordan T. Ash collaborates with scholars based in United States, China and Canada. Jordan T. Ash's co-authors include Barbara E. Engelhardt, Daniel Munro, Ryan P. Adams, Robert Langlois, Joachim Frank, John L. Rubinstein, Jesper Pallesen, Tianju Xue, Sheng Mao and Yiğit Mengüç and has published in prestigious journals such as Nature Communications, Soft Matter and Journal of Structural Biology.

In The Last Decade

Jordan T. Ash

9 papers receiving 178 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jordan T. Ash	48	47	34	21	21	9	180
Kristian Kvilekval	81 1.7×	57 1.2×	9 0.3×	102 4.9×	6 0.3×	7	231
Rossella Aversa	5 0.1×	11 0.2×	23 0.7×	19 0.9×	40 1.9×	8	245
Sebastian Lunz	10 0.2×	35 0.7×	16 0.5×	3 0.1×	10 0.5×	7	134
Saga Helgadóttir	56 1.2×	17 0.4×	10 0.3×	70 3.3×	7 0.3×	9	275
Natalia Chicherova	20 0.4×	26 0.6×	65 1.9×	31 1.5×	5 0.2×	11	227
William T. Katz	9 0.2×	29 0.6×	17 0.5×	26 1.2×	6 0.3×	15	133
Thai V. Hoang	25 0.5×	25 0.5×	29 0.9×	5 0.2×	12 0.6×	19	280
Eugene Katsevich	117 2.4×	22 0.5×	37 1.1×	10 0.5×	28 1.3×	12	235
Baoliang Ge	28 0.6×	2 0.0×	20 0.6×	96 4.6×	6 0.3×	18	281
Nabeel Khalid	54 1.1×	55 1.2×	10 0.3×	108 5.1×	2 0.1×	8	188

Countries citing papers authored by Jordan T. Ash

Since Specialization

Citations

This map shows the geographic impact of Jordan T. Ash's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jordan T. Ash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordan T. Ash more than expected).

Fields of papers citing papers by Jordan T. Ash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jordan T. Ash. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jordan T. Ash. The network helps show where Jordan T. Ash may publish in the future.

Co-authorship network of co-authors of Jordan T. Ash

This figure shows the co-authorship network connecting the top 25 collaborators of Jordan T. Ash. A scholar is included among the top collaborators of Jordan T. Ash based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jordan T. Ash. Jordan T. Ash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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